Speech-to-text technology to transcribe and disclose 100, 000+ hours of bilingual documents from historical Czech and Czechoslovak radio archive

Jan Nouza, Petr Cerva, Jindrich Zdánský, Karel Blavka, Marek Bohac, Jan Silovský, Josef Chaloupka, Michaela Kucharová, Ladislav Seps, Jirí Málek, Michal Rott. Speech-to-text technology to transcribe and disclose 100, 000+ hours of bilingual documents from historical Czech and Czechoslovak radio archive. In Haizhou Li, Helen M. Meng, Bin Ma, Eng Siong Chng, Lei Xie, editors, INTERSPEECH 2014, 15th Annual Conference of the International Speech Communication Association, Singapore, September 14-18, 2014. pages 964-968, ISCA, 2014. [doi]

References

No references recorded for this publication.

Cited by

No citations of this publication recorded.